Sébastien Gambs at Université du Québec à Montréal

University	Université du Québec à Montréal
Position	(UQAM)
Citations(all)	4016
Citations(since 2020)	2358
Cited By	2537
hIndex(all)	30
hIndex(since 2020)	24
i10Index(all)	54
i10Index(since 2020)	37
Email	Access Email
University Profile Page	Université du Québec à Montréal
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Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists

arXiv preprint arXiv:2403.13848

2024/3/18

Sébastien Gambs

H-Index: 20

Membership inference attack for beluga whales discrimination

Ecological Informatics

2024/3/1

Sébastien Gambs

H-Index: 20

PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining

arXiv preprint arXiv:2402.09477

2024/2/12

Alireza Akbari

H-Index: 6

Tao Wang

H-Index: 17

Sébastien Gambs

H-Index: 20

Rssi-based fingerprinting of bluetooth low energy devices

2023/7/10

Sébastien Gambs

H-Index: 20

Exploiter l'équité d'un modèle d'apprentissage pour reconstruire les attributs sensibles de son ensemble d'entraînement

2023/7/3

Sébastien Gambs

H-Index: 20

Improving fairness generalization through a sample-robust optimization method

Machine Learning

2023/6

Sébastien Gambs

H-Index: 20

Exploiting fairness to enhance sensitive attributes reconstruction

2023/2/8

Sébastien Gambs

H-Index: 20

Privacy and Ethics in GeoAI

2023/12

Grant Mckenzie

H-Index: 19

Hongyu Zhang

H-Index: 9

SoK: Taming the Triangle--On the Interplays between Fairness, Interpretability and Privacy in Machine Learning

arXiv preprint arXiv:2312.16191

2023/12/22

Sébastien Gambs

H-Index: 20

Leveraging In-Network Computing for Privacy-Aware Real-Time Surveillance mHealth Applications

2023/12/4

Halima Elbiaze

H-Index: 13

Sébastien Gambs

H-Index: 20

[~ Re] Simulating socioeconomic-based affirmative action

The ReScience journal

2023/11/16

Sébastien Gambs

H-Index: 20

SNAKE Challenge: Sanitization Algorithms under Attack

2023/10/21

Sébastien Gambs

H-Index: 20

Crypto'Graph: Leveraging Privacy-Preserving Distributed Link Prediction for Robust Graph Learning

arXiv preprint arXiv:2309.10890

2023/9/19

Sébastien Gambs

H-Index: 20

Data privacy for Mobility as a Service

2023/9/18

Antoine Legrain

H-Index: 7

Sébastien Gambs

H-Index: 20

Revealing the True Cost of Local Privacy: An Auditing Perspective

arXiv preprint arXiv:2309.01597

2023/9/4

Sébastien Gambs

H-Index: 20

Probabilistic dataset reconstruction from interpretable models

arXiv preprint arXiv:2308.15099

2023/8/29

Sébastien Gambs

H-Index: 20

Washing the unwashable: On the (im) possibility of fairwashing detection

2022/12

Ali Shahin Shamsabadi

H-Index: 8

Mohammad Yaghini

H-Index: 3

Sébastien Gambs

H-Index: 20

Nicolas Papernot

H-Index: 32

Interpretable and Differentially Private Machine Learning

2022/11/22

Probonite: Private one-branch-only non-interactive decision tree evaluation

2022/11/7

Sébastien Gambs

H-Index: 20

Frequency estimation of evolving data under local differential privacy

arXiv preprint arXiv:2210.00262

2022/10/1

Sébastien Gambs

H-Index: 20

Sébastien Gambs

Université du Québec à Montréal

About Sébastien Gambs

Sébastien Gambs Information

Sébastien Gambs Skills & Research Interests

Top articles of Sébastien Gambs

Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists

Sébastien Gambs

Membership inference attack for beluga whales discrimination

Sébastien Gambs

PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining

Alireza Akbari

Tao Wang

Sébastien Gambs

Rssi-based fingerprinting of bluetooth low energy devices

Sébastien Gambs

Exploiter l'équité d'un modèle d'apprentissage pour reconstruire les attributs sensibles de son ensemble d'entraînement

Sébastien Gambs

Improving fairness generalization through a sample-robust optimization method

Sébastien Gambs

Exploiting fairness to enhance sensitive attributes reconstruction

Sébastien Gambs

Privacy and Ethics in GeoAI

Grant Mckenzie

Hongyu Zhang

SoK: Taming the Triangle--On the Interplays between Fairness, Interpretability and Privacy in Machine Learning

Sébastien Gambs

Leveraging In-Network Computing for Privacy-Aware Real-Time Surveillance mHealth Applications

Halima Elbiaze

Sébastien Gambs

[~ Re] Simulating socioeconomic-based affirmative action

Sébastien Gambs

SNAKE Challenge: Sanitization Algorithms under Attack

Sébastien Gambs

Crypto'Graph: Leveraging Privacy-Preserving Distributed Link Prediction for Robust Graph Learning

Sébastien Gambs

Data privacy for Mobility as a Service

Antoine Legrain

Sébastien Gambs

Revealing the True Cost of Local Privacy: An Auditing Perspective

Sébastien Gambs

Probabilistic dataset reconstruction from interpretable models

Sébastien Gambs

Washing the unwashable: On the (im) possibility of fairwashing detection

Ali Shahin Shamsabadi

Mohammad Yaghini

Sébastien Gambs

Nicolas Papernot

Interpretable and Differentially Private Machine Learning

Probonite: Private one-branch-only non-interactive decision tree evaluation

Sébastien Gambs

Frequency estimation of evolving data under local differential privacy

Sébastien Gambs

Co-Authors

rachid guerraoui

Gilles Brassard

Anne-Marie Kermarrec

Esma Aimeur

Jean-Marc Robert

Alain Tapp